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delete preregistered dataset/eval task
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5 changed files with 4 additions and 64 deletions
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@ -19,7 +19,6 @@ from llama_stack.apis.scoring import Scoring
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from llama_stack.providers.datatypes import EvalTasksProtocolPrivate
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from .config import MetaReferenceEvalConfig
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from .eval_task_defs.meta_reference_mmlu import meta_reference_mmlu
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class ColumnName(Enum):
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@ -51,9 +50,10 @@ class MetaReferenceEvalImpl(Eval, EvalTasksProtocolPrivate):
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self.eval_tasks = {}
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async def initialize(self) -> None:
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# pre-register eval tasks
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benchmark_tasks = [meta_reference_mmlu]
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self.eval_tasks = {x.identifier: x for x in benchmark_tasks}
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pass
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# # pre-register eval tasks
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# benchmark_tasks = [meta_reference_mmlu]
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# self.eval_tasks = {x.identifier: x for x in benchmark_tasks}
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async def shutdown(self) -> None: ...
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@ -1,5 +0,0 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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@ -1,13 +0,0 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.apis.eval import EvalTaskDef
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meta_reference_mmlu = EvalTaskDef(
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identifier="meta-reference-mmlu",
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dataset_id="mmlu",
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scoring_functions=["meta-reference::regex_parser_multiple_choice_answer"],
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)
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